Key result
Time domain methods based on early systolic up-slopes and derivative peaks for estimating aortic characteristic impedance showed strong correlation with the frequency domain reference (r=0.91 and r=0.84, p<0.001).
Cross-Sectional (n=72)
Time derivative and up-slopes computation methods provide reliable characteristic impedance and reflection magnitude, enhancing CMR evaluation of aortic left ventricular pulsatile load.
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CMR-tonometry Zc assessment is feasible in healthy volunteers; leaves open validation and utility in cardiovascular disease.
Objectives.To combinecardiovascular magnetic resonance(CMR),whichprovidesaccurate and non-invasive evaluation of flow, with applanation tonometry to assess aortic characteristic impedance (Zc) in time domain while comparing six different methods.Methods.We studied 72 healthy volunteers (31women, age: 42.1 AE 15.3years) who underwent aortic velocity-encoded CMR and carotid applanation tonometry.We developed a method for the superimposition of flow and pressure waveforms as well as semi-automated estimation of temporal Zc based either on magnitude, derivative peaks and early systolic up-slopes ratios or pressure-flow loop.All Zc indices were used to calculate reflection magnitude (RM) as the ratio between backward and forward pressures.Results.For all methods, Zc was in good agreement with the reference Zc provided in frequency domain and with the theoretical water-hammer Zc, which combines aortic pulse wave velocity and area, and with carotid pulse pressure (table) with a slight superiority for methods based on derivatives peaks and early systolic up-slopes.In addition, only these latter two methods were significantly related to arterial stiffness indices such as tonometric carotid-femoral pulse wave velocity (r Z 0.27 and r Z 0.25; p < 0.03) and CMR ascending aorta distensibility (r Z À0.30 and r Z À0.25; p < 0.03).Again these two methods were slightly superior when comparing the derived RM against age (r Z 0.68, r Z 0.65; p < 0.0001).Conclusions.The time derivative and up-slopes straightforward computation methods that can be easily integrated in a clinical workflow provides reliable characteristic impedance and reflection magnitude that might enhance CMR usefulness in evaluating aortic left ventricular (LV) pulsatile load and help for further understanding in LV-aortic coupling.1.
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Bollache et al. (2013) conducted a cross-sectional in Healthy volunteers (n=72). Time domain methods for estimating aortic characteristic impedance (early systolic up-slopes and derivative peaks) vs. Frequency domain and theoretical water-hammer methods was evaluated on Correlation of time domain characteristic impedance with frequency domain reference (r = 0.91, p=<0.001). Time domain methods based on early systolic up-slopes and derivative peaks for estimating aortic characteristic impedance showed strong correlation with the frequency domain reference (r=0.91 and r=0.84, p<0.001).
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